Cognitive Load, Emotional Asymmetry, and the Third-Person Effect: Explaining Audience Responses to AI-Generated Health Misinformation
Year: 2026
Type: article
Abstract: This study extends the Third-Person Effect (TPE) framework into the era of generative artificial intelligence by examining how cognitive and emotional mechanisms shape audience responses to AI-generated health misinformation. Across a two-stage online experiment, participants were exposed to AI- or human-written health messages and later received one of three literacy interventions (AI principle education, fact-checking, or emotional inoculation). Results showed that higher AI literacy, critical thinking, and verification efficacy amplified Third-Person Perception (TPP), whereas cognitive load weakened it, revealing an “ability–difficulty” moderation. Negative emotions such as fear, anxiety, and confusion increased TPP, while hope reduced it. Literacy interventions, particularly emotional inoculation, significantly decreased TPP and enhanced detection accuracy, with route–audience congruence effects consistent with the Elaboration Likelihood Model. These findings advance TPE theory beyond anthropocentric media contexts, conceptualizing it as a technocognitive bias moderated by cognitive resources and emotional asymmetry. The study further demonstrates that targeted literacy interventions can recalibrate public perception and trust toward AI-mediated health communication.
Authors: Chen, Chiao-Chieh, Chiu, Yu-Ping
Institutions: National Taiwan Normal University, Chinese Culture University
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7125963332
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